package com.lx.oms.common.utils;

import java.awt.AlphaComposite;
import java.awt.Color;
import java.awt.Font;
import java.awt.Graphics;
import java.awt.Graphics2D;
import java.awt.Image;
import java.awt.Toolkit;
import java.awt.color.ColorSpace;
import java.awt.geom.AffineTransform;
import java.awt.image.AffineTransformOp;
import java.awt.image.BufferedImage;
import java.awt.image.ColorConvertOp;
import java.awt.image.CropImageFilter;
import java.awt.image.FilteredImageSource;
import java.awt.image.ImageFilter;
import java.io.File;
import java.io.FileInputStream;
import java.io.FileNotFoundException;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.OutputStream;

import javax.imageio.ImageIO;

import org.apache.commons.lang.StringUtils;
import org.apache.shiro.codec.Base64;

/**
 * 图片处理工具类：<br>
 * 功能：缩放图像、切割图像、图像类型转换、彩色转黑白、文字水印、图片水印等
 */
public class ImageUtils {
    
    /**
     * 几种常见的图片格式
     */
    public static String IMAGE_TYPE_GIF = "gif";// 图形交换格式
    public static String IMAGE_TYPE_JPG = "jpg";// 联合照片专家组
    public static String IMAGE_TYPE_JPEG = "jpeg";// 联合照片专家组
    public static String IMAGE_TYPE_BMP = "bmp";// 英文Bitmap（位图）的简写，它是Windows操作系统中的标准图像文件格式
    public static String IMAGE_TYPE_PNG = "png";// 可移植网络图形
    public static String IMAGE_TYPE_PSD = "psd";// Photoshop的专用格式Photoshop
    
    /**
     * 程序入口：用于测试
     * @param args
     */
    public static void main(String[] args) {
    	//String imgStr = "";
    	//String type = StringUtils.substring(imgStr, imgStr.lastIndexOf(",") + 1);
    	//System.out.println(type);
    	//ImageUtils.base64StrToImage(type, "/Users/houzhong/Downloads/testimg/bbbb/");
    	// 1-缩放图像：
        // 方法一：按比例缩放
        ImageUtils.scale("/Users/houzhong/Downloads/testimg/bbbb/1531121545910.jpg","/Users/houzhong/Downloads/testimg/bbbb/abc1122.jpg",1, true);//测试OK
        // 方法二：按高度和宽度缩放
        //ImageUtils.scale2("e:/abc.jpg", "e:/abc_scale2.jpg", 500, 300, true);//测试OK
        
        // 2-切割图像：
        // 方法一：按指定起点坐标和宽高切割
        //ImageUtils.cut("c:/12.jpg", "c:/abc_cut1.jpg", 100, 150, 400, 400 );//测试OK
        // 方法二：指定切片的行数和列数
        //ImageUtils.cut2("e:/abc.jpg", "e:/", 2, 2 );//测试OK
        // 方法三：指定切片的宽度和高度
        //ImageUtils.cut3("e:/abc.jpg", "e:/", 300, 300 );//测试OK
        
        // 3-图像类型转换：
        //ImageUtils.convert("e:/abc.jpg", "GIF", "e:/abc_convert.gif");//测试OK
        
        // 4-彩色转黑白：
        //ImageUtils.gray("e:/abc.jpg", "e:/abc_gray.jpg");//测试OK
        
        // 5-给图片添加文字水印：
        // 方法一：
        //ImageUtils.pressText("我是水印文字","e:/abc.jpg","e:/abc_pressText.jpg","宋体",Font.BOLD,Color.white,80, 0, 0, 0.5f);//测试OK
        // 方法二：
        //ImageUtils.pressText2("我也是水印文字", "e:/abc.jpg","e:/abc_pressText2.jpg", "黑体", 36, Color.white, 80, 0, 0, 0.5f);//测试OK
        
        // 6-给图片添加图片水印：
        //ImageUtils.pressImage("e:/abc2.jpg", "e:/abc.jpg","e:/abc_pressImage.jpg", 0, 0, 0.5f);//测试OK
//    	
//    	ImageUtils.scaleImages("c:/12.jpg", "c:/10_a_001.jpg", 200);
//    	ImageUtils.scaleImages("c:/12.jpg", "c:/10_b_001.jpg", 200);
    	
    	//ImageUtils.compressImage("c:/1.jpg","c:/001.jpg",1024);
    	//ImageUtils.compressImage("c:/2.jpg","c:/001.jpg",440);
    	//ImageUtils.compressImage("c:/1.jpg","c:/001.jpg",440);
    	
    	/*String srcImg = "c:/10.JPG";  
    	ImageUtils.scaleImages("c:/32.jpg", "c:/liuss/123456.jpg", 60);
    	ImageUtils.scaleImages("c:/123.jpg", "c:/liuss/1234.jpg", 300);
    	//ImageUtils.scaleImages("c:/32.jpg", "c:/10_b_001.jpg", 440);
    	/*String srcImg = "c:/10.JPG";  
        String tarDir = "c:/";
        
        compressImage(srcImg, tarDir + "car_4.JPG", 84);
        compressImage(srcImg, tarDir + "car_2.JPG", 440);
        compressImage(srcImg, tarDir + "car_1.JPG", 1024);  
        compressImage(srcImg, tarDir + "car_3.JPG", 2048);*/
        
    }
    
    public static boolean base64StrToImage(String imgStr, String path) {
    	if (imgStr == null){
            return false;
        }
        Base64 decoder = new Base64();
        try {
            // 解密
            byte[] b = decoder.decode(imgStr);
            // 处理数据
            for (int i = 0; i < b.length; ++i) {
                if (b[i] < 0) {
                    b[i] += 256;
                }
            }
            OutputStream out = new FileOutputStream(path);
            out.write(b);
             out.flush();
            out.close();
            return true;
        } catch (Exception e) {
        	e.printStackTrace();
            return false;
        }
    }
    
    /**
     * 缩放图像（按比例缩放）
     * @param srcImageFile -- 源图像文件地址
     * @param result -- 缩放后的图像地址
     * @param scale -- 缩放比例
     * @param flag -- 缩放选择:true 放大; false 缩小;
     */
    public final static void scale(String srcImageFile, String result, int scale, boolean flag) {
        try {
            // 读入文件
            BufferedImage src = ImageIO.read(new File(srcImageFile));
            // 得到源图宽
            int width = src.getWidth();
            // 得到源图长
            int height = src.getHeight();
            // 判断源图需要放大还是缩小
            if (flag) {
                // 放大
                width = width * scale;
                height = height * scale;
            } else {
                // 缩小
                width = width / scale;
                height = height / scale;
            }
            Image image = src.getScaledInstance(width, height, Image.SCALE_DEFAULT);
            BufferedImage tag = new BufferedImage(width, height, BufferedImage.TYPE_INT_RGB);
            Graphics g = tag.getGraphics();
            // 绘制缩小后的图
            g.drawImage(image, 0, 0, null);
            g.dispose();
            
            File file = new File(result);  
            if (!file.exists()) {  
                file.getParentFile().mkdirs();  
            }
            // 输出到文件流
            ImageIO.write(tag, "JPEG", new File(result));
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
    
    /**
     * 缩放图像（按比例缩放）
     * @param srcImageFile -- 源图像文件地址
     * @param result -- 缩放后的图像地址
     * @param scale -- 缩放比例
     * @param flag -- 缩放选择:true 放大; false 缩小;
     */
    public final static void scaleImages(String srcImageFile, String result, int scale) {
    	try {
            BufferedImage src = ImageIO.read(new File(srcImageFile));
            int srcWidth = src.getWidth();
            int srcHeight = src.getHeight();
            int desWidth = 0;
            int desHeight = 0;
            int desX = 0;
            int desY = 0;
            
            if (srcWidth > srcHeight) {
            	
            	desWidth = srcWidth;
            	desHeight = srcHeight;
            	desX = (desWidth - scale) /4;
            	desY = 0;
            } else {
            	desWidth = srcWidth;
            	desHeight = srcHeight;
            	desX = 0;
            	desY = (desHeight - scale)/4;
            }
            
            Image image = src.getScaledInstance(srcWidth, srcHeight, Image.SCALE_DEFAULT);
            ImageFilter cropFilter = new CropImageFilter(desX, desY, scale, scale);
            Image img = Toolkit.getDefaultToolkit().createImage(new FilteredImageSource(image.getSource(), cropFilter));
            BufferedImage tag = new BufferedImage(scale, scale, BufferedImage.TYPE_INT_RGB);
            Graphics g = tag.getGraphics();
            g.drawImage(img, 0, 0, scale, scale, null);
            g.dispose();
            
            File file = new File(result);  
            if (!file.exists()) {  
                file.getParentFile().mkdirs();  
            }
            
            ImageIO.write(tag, "JPEG",file);
        } catch (IOException e) {
            e.printStackTrace();
        }
    }

    
    /* 
     * 根据X轴和Y轴的坐标截图
     * */
    public final static void scaleImagesY(String srcImageFile, String result, int scale,int x,int y) {
    	try {
            BufferedImage src = ImageIO.read(new File(srcImageFile));
            int srcWidth = src.getWidth();
            int srcHeight = src.getHeight();
            int desX = 0;
            int desY = 0;
            
        	desX = x;
        	desY = y;
          
            Image image = src.getScaledInstance(srcWidth, srcHeight, Image.SCALE_DEFAULT);
            ImageFilter cropFilter = new CropImageFilter(desX, desY, scale, scale);
            Image img = Toolkit.getDefaultToolkit().createImage(new FilteredImageSource(image.getSource(), cropFilter));
            BufferedImage tag = new BufferedImage(scale, scale, BufferedImage.TYPE_INT_RGB);
            Graphics g = tag.getGraphics();
            g.drawImage(img, 0, 0, scale, scale, null);
            g.dispose();
            
            File file = new File(result);  
            if (!file.exists()) {  
                file.getParentFile().mkdirs();  
            }
            
            ImageIO.write(tag, "JPEG",file);
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
    
    
    @SuppressWarnings("static-access")
	public final static void scale12(String srcImageFilePath, String result,  int height,int width, boolean flag) {
        try {
            // 缩放比例
            double ratio = 0.0;
            File srcImageFile = new File(srcImageFilePath);
            BufferedImage bi = ImageIO.read(srcImageFile);
            
            int newHeight =  bi.getHeight();
	        int newWidth = bi.getWidth();
	        float t=0f;
	        
	        t=(float)width/(float)newWidth;
			newWidth=Math.round(newWidth*t);
			newHeight = Math.round(newHeight*t);
			       
            Image itemp = bi.getScaledInstance( newHeight,newWidth, bi.SCALE_SMOOTH);
            // 计算比例
            if ((bi.getHeight() > newHeight)||(bi.getHeight() < newHeight) || (bi.getWidth() > width)||(bi.getWidth() < width)) {
                if (bi.getHeight() > bi.getWidth()) {
                    ratio = (new Integer(newHeight)).doubleValue() / bi.getHeight();
                } else {
                    ratio = (new Integer(width)).doubleValue() / bi.getWidth();
                }
                AffineTransformOp op = new AffineTransformOp(AffineTransform .getScaleInstance(ratio, ratio), null);
                itemp = op.filter(bi, null);
            }
            // 判断生成后的缩略图是否需要补白
            if (flag) {
                //补白
                BufferedImage image = new BufferedImage(newWidth, newHeight, BufferedImage.TYPE_INT_BGR);
                Graphics2D g = image.createGraphics();
                g.setColor(Color.white);
                g.fillRect(0, 0, newWidth, newHeight);
                if (newWidth == itemp.getWidth(null)) {
                    g.drawImage(itemp, 0, (newHeight - itemp.getHeight(null)) / 2, itemp.getWidth(null), itemp.getHeight(null), Color.white, null);
                } else {
                    g.drawImage(itemp, (newWidth - itemp.getWidth(null)) / 2, 0, itemp.getWidth(null), itemp.getHeight(null), Color.white, null);
                }
                g.dispose();
                itemp = image;
            }

            ImageIO.write((BufferedImage) itemp, "JPEG", new File(result));
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
    
    
    /**
     * 缩放图像（按高度和宽度缩放）
     * @param srcImageFile -- 源图像文件地址
     * @param result -- 缩放后的图像地址
     * @param height -- 缩放后的高度
     * @param width -- 缩放后的宽度
     * @param bb -- 比例不对时是否需要补白：true为补白; false为不补白;
     */
    public final static void scale2(String srcImageFilePath, String result, int height, int width, boolean flag) {
        try {
            // 缩放比例
            double ratio = 0.0;
            File srcImageFile = new File(srcImageFilePath);
            BufferedImage bi = ImageIO.read(srcImageFile);
            @SuppressWarnings("static-access")
			Image itemp = bi.getScaledInstance(width, height, bi.SCALE_SMOOTH);
            // 计算比例
            if ((bi.getHeight() > height) || (bi.getWidth() > width)) {
                if (bi.getHeight() > bi.getWidth()) {
                    ratio = (new Integer(height)).doubleValue() / bi.getHeight();
                } else {
                    ratio = (new Integer(width)).doubleValue() / bi.getWidth();
                }
                AffineTransformOp op = new AffineTransformOp(AffineTransform .getScaleInstance(ratio, ratio), null);
                itemp = op.filter(bi, null);
            }
            // 判断生成后的缩略图是否需要补白
            if (flag) {
                //补白
                BufferedImage image = new BufferedImage(width, height, BufferedImage.TYPE_INT_RGB);
                Graphics2D g = image.createGraphics();
                g.setColor(Color.white);
                g.fillRect(0, 0, width, height);
                if (width == itemp.getWidth(null)) {
                    g.drawImage(itemp, 0, (height - itemp.getHeight(null)) / 2, itemp.getWidth(null), itemp.getHeight(null), Color.white, null);
                } else {
                    g.drawImage(itemp, (width - itemp.getWidth(null)) / 2, 0, itemp.getWidth(null), itemp.getHeight(null), Color.white, null);
                }
                g.dispose();
                itemp = image;
            }
            ImageIO.write((BufferedImage) itemp, "JPEG", new File(result));
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
    
    /**
     * 图像切割(按指定起点坐标和宽高切割)
     * @param srcImageFile -- 源图像地址
     * @param result -- 切片后的图像地址
     * @param x -- 目标切片起点坐标X
     * @param y -- 目标切片起点坐标Y
     * @param width -- 目标切片宽度
     * @param height -- 目标切片高度
     */
    public final static void cut(String srcImageFile, String result, int x, int y, int width, int height) {
        try {
            // 读取源图像
            BufferedImage bi = ImageIO.read(new File(srcImageFile));
            // 源图宽度
            int srcWidth = bi.getHeight();
            // 源图高度
            int srcHeight = bi.getWidth();
            if (srcWidth > 0 && srcHeight > 0) {
                Image image = bi.getScaledInstance(srcWidth, srcHeight, Image.SCALE_DEFAULT);
                // 四个参数分别为图像起点坐标和宽高，即: CropImageFilter(int x,int y,int width,int height)
                ImageFilter cropFilter = new CropImageFilter(x, y, width, height);
                Image img = Toolkit.getDefaultToolkit().createImage(new FilteredImageSource(image.getSource(), cropFilter));
                BufferedImage tag = new BufferedImage(width, height, BufferedImage.TYPE_INT_RGB);
                Graphics g = tag.getGraphics();
                // 绘制切割后的图
                g.drawImage(img, 0, 0, width, height, null);
                g.dispose();
                // 输出为文件
                ImageIO.write(tag, "JPEG", new File(result));
            }
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
    
    /**
     * 图像切割（指定切片的行数和列数）
     * @param srcImageFile -- 源图像地址
     * @param descDir -- 切片目标文件夹
     * @param rows -- 目标切片行数。默认2，必须是范围 [1, 20] 之内
     * @param cols -- 目标切片列数。默认2，必须是范围 [1, 20] 之内
     */
    public final static void cut2(String srcImageFile, String descDir, int rows, int cols) {
        try {
            if (rows <= 0 || rows > 20) {
                // 切片行数
                rows = 2;
            }
            if (cols <= 0 || cols > 20) {
                // 切片列数
                cols = 2;
            }
            // 读取源图像
            BufferedImage bi = ImageIO.read(new File(srcImageFile));
            // 源图宽度
            int srcWidth = bi.getHeight();
            // 源图高度
            int srcHeight = bi.getWidth();
            if (srcWidth > 0 && srcHeight > 0) {
                Image img;
                ImageFilter cropFilter;
                Image image = bi.getScaledInstance(srcWidth, srcHeight, Image.SCALE_DEFAULT);
                // 每张切片的宽度
                int destWidth = srcWidth;
                // 每张切片的高度
                int destHeight = srcHeight;
                // 计算切片的宽度和高度
                if (srcWidth % cols == 0) {
                    destWidth = srcWidth / cols;
                } else {
                    destWidth = (int) Math.floor(srcWidth / cols) + 1;
                }
                if (srcHeight % rows == 0) {
                    destHeight = srcHeight / rows;
                } else {
                    destHeight = (int) Math.floor(srcWidth / rows) + 1;
                }
                // 循环建立切片（改进的想法:是否可用多线程加快切割速度）
                for (int i = 0; i < rows; i++) {
                    for (int j = 0; j < cols; j++) {
                        // 四个参数分别为图像起点坐标和宽高，即: CropImageFilter(int x,int y,int width,int height)
                        cropFilter = new CropImageFilter(j * destWidth, i * destHeight, destWidth, destHeight);
                        img = Toolkit.getDefaultToolkit().createImage( new FilteredImageSource(image.getSource(), cropFilter));
                        BufferedImage tag = new BufferedImage(destWidth, destHeight, BufferedImage.TYPE_INT_RGB);
                        Graphics g = tag.getGraphics();
                        // 绘制缩小后的图
                        g.drawImage(img, 0, 0, null);
                        g.dispose();
                        // 输出为文件
                        ImageIO.write(tag, "JPEG", new File(descDir + "_r" + i + "_c" + j + ".jpg"));
                    }
                }
            }
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
    
    /**
     * 图像切割（指定切片的宽度和高度）
     * @param srcImageFile -- 源图像地址
     * @param descDir -- 切片目标文件夹
     * @param destWidth -- 目标切片宽度。默认200
     * @param destHeight -- 目标切片高度。默认150
     */
    public final static void cut3(String srcImageFile, String descDir, int destWidth, int destHeight) {
        try {
            if (destWidth <= 0) {
                // 切片宽度
                destWidth = 200;
            }
            if (destHeight <= 0) {
                // 切片高度
                destHeight = 150;
            }
            // 读取源图像
            BufferedImage bi = ImageIO.read(new File(srcImageFile));
            // 源图宽度
            int srcWidth = bi.getHeight();
            // 源图高度
            int srcHeight = bi.getWidth();
            if (srcWidth > destWidth && srcHeight > destHeight) {
                Image img;
                ImageFilter cropFilter;
                Image image = bi.getScaledInstance(srcWidth, srcHeight, Image.SCALE_DEFAULT);
                // 切片横向数量
                int cols = 0;
                // 切片纵向数量
                int rows = 0;
                // 计算切片的横向和纵向数量
                if (srcWidth % destWidth == 0) {
                    cols = srcWidth / destWidth;
                } else {
                    cols = (int) Math.floor(srcWidth / destWidth) + 1;
                }
                if (srcHeight % destHeight == 0) {
                    rows = srcHeight / destHeight;
                } else {
                    rows = (int) Math.floor(srcHeight / destHeight) + 1;
                }
                // 循环建立切片（改进的想法:是否可用多线程加快切割速度）
                for (int i = 0; i < rows; i++) {
                    for (int j = 0; j < cols; j++) {
                        // 四个参数分别为图像起点坐标和宽高，即: CropImageFilter(int x,int y,int width,int height)
                        cropFilter = new CropImageFilter(j * destWidth, i * destHeight, destWidth, destHeight);
                        img = Toolkit.getDefaultToolkit().createImage(new FilteredImageSource(image.getSource(), cropFilter));
                        BufferedImage tag = new BufferedImage(destWidth, destHeight, BufferedImage.TYPE_INT_RGB);
                        Graphics g = tag.getGraphics();
                        // 绘制缩小后的图
                        g.drawImage(img, 0, 0, null);
                        g.dispose();
                        // 输出为文件
                        ImageIO.write(tag, "JPEG", new File(descDir + "_r" + i + "_c" + j + ".jpg"));
                    }
                }
            }
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
    
    /**
     * 图像类型转换：GIF->JPG、GIF->PNG、PNG->JPG、PNG->GIF(X)、BMP->PNG
     * @param srcImageFile -- 源图像地址
     * @param formatName -- 包含格式非正式名称的 String：如JPG、JPEG、GIF等
     * @param destImageFile -- 目标图像地址
     */
    public final static void convert(String srcImageFile, String formatName, String destImageFile) {
        try {
            File f = new File(srcImageFile);
            f.canRead();
            f.canWrite();
            BufferedImage src = ImageIO.read(f);
            ImageIO.write(src, formatName, new File(destImageFile));
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
    
    /**
     * 彩色转为黑白
     * @param srcImageFile -- 源图像地址
     * @param destImageFile -- 目标图像地址
     */
    public final static void gray(String srcImageFile, String destImageFile) {
        try {
            BufferedImage src = ImageIO.read(new File(srcImageFile));
            ColorSpace cs = ColorSpace.getInstance(ColorSpace.CS_GRAY);
            ColorConvertOp op = new ColorConvertOp(cs, null);
            src = op.filter(src, null);
            ImageIO.write(src, "JPEG", new File(destImageFile));
        } catch (IOException e) {
            e.printStackTrace();
        }
    }
    
    /**
     * 给图片添加文字水印
     * @param pressText -- 水印文字
     * @param srcImageFile -- 源图像地址
     * @param destImageFile -- 目标图像地址
     * @param fontName -- 水印的字体名称
     * @param fontStyle -- 水印的字体样式
     * @param color -- 水印的字体颜色
     * @param fontSize -- 水印的字体大小
     * @param x -- 修正值
     * @param y -- 修正值
     * @param alpha -- 透明度：alpha 必须是范围 [0.0, 1.0] 之内（包含边界值）的一个浮点数字
     */
    public final static void pressText(String pressText, String srcImageFile, String destImageFile, String fontName, int fontStyle, Color color, int fontSize, int x, int y, float alpha) {
        try {
            File img = new File(srcImageFile);
            Image src = ImageIO.read(img);
            int width = src.getWidth(null);
            int height = src.getHeight(null);
            BufferedImage image = new BufferedImage(width, height, BufferedImage.TYPE_INT_RGB);
            Graphics2D g = image.createGraphics();
            g.drawImage(src, 0, 0, width, height, null);
            g.setColor(color);
            g.setFont(new Font(fontName, fontStyle, fontSize));
            g.setComposite(AlphaComposite.getInstance(AlphaComposite.SRC_ATOP, alpha));
            // 在指定坐标绘制水印文字
            g.drawString(pressText, (width - (getLength(pressText) * fontSize)) / 2 + x, (height - fontSize) / 2 + y);
            g.dispose();
            // 输出到文件流
            ImageIO.write((BufferedImage) image, "JPEG", new File(destImageFile));
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
    
    /**
     * 给图片添加文字水印
     * @param pressText -- 水印文字
     * @param srcImageFile -- 源图像地址
     * @param destImageFile -- 目标图像地址
     * @param fontName -- 字体名称
     * @param fontStyle -- 字体样式
     * @param color -- 字体颜色
     * @param fontSize -- 字体大小
     * @param x -- 修正值
     * @param y -- 修正值
     * @param alpha -- 透明度：alpha 必须是范围 [0.0, 1.0] 之内（包含边界值）的一个浮点数字
     */
    public final static void pressText2(String pressText, String srcImageFile,String destImageFile, String fontName, int fontStyle, Color color, int fontSize, int x, int y, float alpha) {
        try {
            File img = new File(srcImageFile);
            Image src = ImageIO.read(img);
            int width = src.getWidth(null);
            int height = src.getHeight(null);
            BufferedImage image = new BufferedImage(width, height, BufferedImage.TYPE_INT_RGB);
            Graphics2D g = image.createGraphics();
            g.drawImage(src, 0, 0, width, height, null);
            g.setColor(color);
            g.setFont(new Font(fontName, fontStyle, fontSize));
            g.setComposite(AlphaComposite.getInstance(AlphaComposite.SRC_ATOP, alpha));
            // 在指定坐标绘制水印文字
            g.drawString(pressText, (width - (getLength(pressText) * fontSize)) / 2 + x, (height - fontSize) / 2 + y);
            g.dispose();
            ImageIO.write((BufferedImage) image, "JPEG", new File(destImageFile));
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
    
    /**
     * 给图片添加图片水印
     * @param pressImg -- 水印图片
     * @param srcImageFile -- 源图像地址
     * @param destImageFile -- 目标图像地址
     * @param x -- 修正值。 默认在中间
     * @param y -- 修正值。 默认在中间
     * @param alpha -- 透明度：alpha 必须是范围 [0.0, 1.0] 之内（包含边界值）的一个浮点数字
     */
    public final static void pressImage(String pressImg, String srcImageFile,String destImageFile, int x, int y, float alpha) {
        try {
            File img = new File(srcImageFile);
            Image src = ImageIO.read(img);
            int wideth = src.getWidth(null);
            int height = src.getHeight(null);
            BufferedImage image = new BufferedImage(wideth, height, BufferedImage.TYPE_INT_RGB);
            Graphics2D g = image.createGraphics();
            g.drawImage(src, 0, 0, wideth, height, null);
            // 水印文件
            Image src_biao = ImageIO.read(new File(pressImg));
            int wideth_biao = src_biao.getWidth(null);
            int height_biao = src_biao.getHeight(null);
            g.setComposite(AlphaComposite.getInstance(AlphaComposite.SRC_ATOP, alpha));
            g.drawImage(src_biao, (wideth - wideth_biao) / 2, (height - height_biao) / 2, wideth_biao, height_biao, null);
            // 水印文件结束
            g.dispose();
            ImageIO.write((BufferedImage) image,  "JPEG", new File(destImageFile));
        } catch (Exception e) {
            e.printStackTrace();
        }
    }
    
    /**
     * 计算text的长度（一个中文算两个字符）
     * @param text
     * @return
     */
    public final static int getLength(String text) {
        int length = 0;
        for (int i = 0; i < text.length(); i++) {
            if (new String(text.charAt(i) + "").getBytes().length > 1) {
                length += 2;
            } else {
                length += 1;
            }
        }
        return length / 2;
    }
    
    /**
     * 图片自定义 宽 放大 缩小
     */
    /** * 图片文件读取 * * @param srcImgPath * @return */  
    private static BufferedImage InputImage(String srcImgPath) {  
        BufferedImage srcImage = null;  
        try {  
            FileInputStream in = new FileInputStream(srcImgPath);  
            srcImage = javax.imageio.ImageIO.read(in);  
        } catch (IOException e) {  
            System.out.println("读取图片文件出错！" + e.getMessage());  
            e.printStackTrace();  
        }  
        return srcImage;  
    }  
  
    /** 
     * * 将图片按照指定的图片尺寸压缩 * * @param srcImgPath :源图片路径 * @param outImgPath * 
     * :输出的压缩图片的路径 * @param new_w * :压缩后的图片宽 * @param new_h * :压缩后的图片高 
     */  
    public static void compressImage(String srcImgPath, String outImgPath,  
            int new_w, int new_h) {  
        BufferedImage src = InputImage(srcImgPath);  
        disposeImage(src, outImgPath, new_w, new_h);  
    }  
  
    /** 
     * * 指定长或者宽的最大值来压缩图片 * * @param srcImgPath * :源图片路径 * @param outImgPath * 
     * :输出的压缩图片的路径 * @param maxLength * :长或者宽的最大值 
     */  
    public static void compressImage(String srcImgPath, String outImgPath,  
            int maxLength) {  
        // 得到图片  
        BufferedImage src = InputImage(srcImgPath);  
        if (null != src) {  
        	// 得到源图宽  
            int old_w = src.getWidth();  
            // 得到源图长高
            int old_h = src.getHeight();  
            
            // 新图的宽  
            int new_w = 0;  
            // 新图的高  
            int new_h = 0;  
            
            
            //修改图片 如果原图小于 84 440 1024 2048 就存原图 大于其中一个 原图比例修改 
            if(old_w>=84 && old_w<220){
            	if(old_w<=220){
            		// 根据图片尺寸压缩比得到新图的尺寸  
		            if (old_w > old_h) {  
		                // 图片要缩放的比例  
		                new_w = maxLength;  
		                new_h = (int) Math.round(old_h * ((float) maxLength / old_w));
		                
		                if(old_w>maxLength){
		                	new_w = maxLength;  
		                	new_h = (int) Math.round(old_h * ((float) maxLength / old_w));
		                }else{
		                	new_w = old_w;
		                	new_h = old_h;
		                }
		                
		            } else {  
		            	
		                if(old_h>maxLength){
		                	new_h = maxLength;
		                    new_w = (int) Math.round(old_w * ((float) maxLength / old_h));  
		                }else{
		                	new_w = old_w;
		                	new_h = old_h;
		                }
		            } 
            	}else{
					new_w = old_w;
					new_h = old_h;
				}
            }
			if(old_w>=220 && old_w<440){
				if(old_w <= 440){
					// 根据图片尺寸压缩比得到新图的尺寸  
		            if (old_w > old_h) {  
		                // 图片要缩放的比例  
		                new_w = maxLength;  
		                new_h = (int) Math.round(old_h * ((float) maxLength / old_w));
		                
		                if(old_w>maxLength){
		                	new_w = maxLength;  
		                	new_h = (int) Math.round(old_h * ((float) maxLength / old_w));
		                }else{
		                	new_w = old_w;
		                	new_h = old_h;
		                }
		                
		            } else {  
		            	
		                if(old_h>maxLength){
		                	new_h = maxLength;
		                    new_w = (int) Math.round(old_w * ((float) maxLength / old_h));  
		                }else{
		                	new_w = old_w;
		                	new_h = old_h;
		                }
		            } 
				}else{
					new_w = old_w;
					new_h = old_h;
				}
            }
			if(old_w>=440&& old_w<1024){
				if(old_w<=1024){
					// 根据图片尺寸压缩比得到新图的尺寸  
		            if (old_w > old_h) {  
		                // 图片要缩放的比例  
		                new_w = maxLength;  
		                new_h = (int) Math.round(old_h * ((float) maxLength / old_w));
		                
		                if(old_w>maxLength){
		                	new_w = maxLength;  
		                	new_h = (int) Math.round(old_h * ((float) maxLength / old_w));
		                }else{
		                	new_w = old_w;
		                	new_h = old_h;
		                }
		                
		            } else {  
		            	
		                if(old_h>maxLength){
		                	new_h = maxLength;
		                    new_w = (int) Math.round(old_w * ((float) maxLength / old_h));  
		                }else{
		                	new_w = old_w;
		                	new_h = old_h;
		                }
		 
		            } 
				}else{
					new_w = old_w;
					new_h = old_h;
				}
				
            }
			if(old_w>=1024&& old_w<2048){
				if(old_w<=2048){
					// 根据图片尺寸压缩比得到新图的尺寸  
		            if (old_w > old_h) {  
		                // 图片要缩放的比例  
		                new_w = maxLength;  
		                new_h = (int) Math.round(old_h * ((float) maxLength / old_w));
		                
		                if(old_w>maxLength){
		                	new_w = maxLength;  
		                	new_h = (int) Math.round(old_h * ((float) maxLength / old_w));
		                }else{
		                	new_w = old_w;
		                	new_h = old_h;
		                }
		                
		            } else {  
		            	
		                if(old_h>maxLength){
		                	new_h = maxLength;
		                    new_w = (int) Math.round(old_w * ((float) maxLength / old_h));  
		                }else{
		                	new_w = old_w;
		                	new_h = old_h;
		                }
		 
		            } 
				}else{
					new_w = old_w;
					new_h = old_h;
				}
				
            }
			if(old_w>=2048){
				if(old_w<=2048){
					// 根据图片尺寸压缩比得到新图的尺寸  
		            if (old_w > old_h) {  
		                // 图片要缩放的比例  
		                new_w = maxLength;  
		                new_h = (int) Math.round(old_h * ((float) maxLength / old_w));
		                
		                if(old_w>maxLength){
		                	new_w = maxLength;  
		                	new_h = (int) Math.round(old_h * ((float) maxLength / old_w));
		                }else{
		                	new_w = old_w;
		                	new_h = old_h;
		                }
		                
		            } else {  
		            	
		                if(old_h>maxLength){
		                	new_h = maxLength;
		                    new_w = (int) Math.round(old_w * ((float) maxLength / old_h));  
		                }else{
		                	new_w = old_w;
		                	new_h = old_h;
		                }
		 
		            } 
				}else{
					new_w = old_w;
					new_h = old_h;
				}
				
            }
			if(old_w>=220 && old_w<440){
				if(old_w<=1024){
					// 根据图片尺寸压缩比得到新图的尺寸  
		            if (old_w > old_h) {  
		                // 图片要缩放的比例  
		                new_w = maxLength;  
		                new_h = (int) Math.round(old_h * ((float) maxLength / old_w));
		                
		                if(old_w>maxLength){
		                	new_w = maxLength;  
		                	new_h = (int) Math.round(old_h * ((float) maxLength / old_w));
		                }else{
		                	new_w = old_w;
		                	new_h = old_h;
		                }
		                
		            } else {  
		            	
		                if(old_h>maxLength){
		                	new_h = maxLength;
		                    new_w = (int) Math.round(old_w * ((float) maxLength / old_h));  
		                }else{
		                	new_w = old_w;
		                	new_h = old_h;
		                }
		 
		            } 
				}else{
					new_w = old_w;
					new_h = old_h;
				}
			}
			
            /*// 根据图片尺寸压缩比得到新图的尺寸  
            if (old_w > old_h) {  
                // 图片要缩放的比例  
                new_w = maxLength;  
                new_h = (int) Math.round(old_h * ((float) maxLength / old_w));
                
                if(old_w>maxLength){
                	new_w = maxLength;  
                	new_h = (int) Math.round(old_h * ((float) maxLength / old_w));
                }else{
                	new_w = old_w;
                	new_h = old_h;
                }
                
            } else {  
            	
                if(old_h>maxLength){
                	new_h = maxLength;
                    new_w = (int) Math.round(old_w * ((float) maxLength / old_h));  
                }else{
                	new_w = old_w;
                	new_h = old_h;
                }
 
            } */ 
            disposeImage(src, outImgPath, new_w, new_h);  
        }  
    }
    
    public static void compressImage2(String srcImgPath, String outImgPath,  
            int maxLength) {  
        // 得到图片  
        BufferedImage src = InputImage(srcImgPath);  
        if (null != src) {  
        	// 得到源图宽  
            int old_w = src.getWidth();  
            // 得到源图长  
            int old_h = src.getHeight();  
            
            // 新图的宽  
            int new_w = 0;  
            // 新图的长  
            int new_h = 0;  
            
            // 根据图片尺寸压缩比得到新图的尺寸  
            if (old_w > old_h) {  
                // 图片要缩放的比例  
                new_w = maxLength;  
                new_h = (int) Math.round(old_h * ((float) maxLength / old_w));
                
                if(old_w>maxLength){
                	new_w = maxLength;  
                	new_h = (int) Math.round(old_h * ((float) maxLength / old_w));
                }else{
                	new_w = 440;
                	new_h = 324;
                }
                
            } else {  
            	
                if(old_h>maxLength){
                	new_h = maxLength;
                    new_w = (int) Math.round(old_w * ((float) maxLength / old_h));  
                }else{
                	new_w = 324;
                	new_h = 440;
                }
 
            }  
            disposeImage(src, outImgPath, new_w, new_h);  
        }  
    }
  
    /** * 处理图片 * * @param src * @param outImgPath * @param new_w * @param new_h */  
    private synchronized static void disposeImage(BufferedImage src,  
            String outImgPath, int new_w, int new_h) {  
        // 得到图片  
        int old_w = src.getWidth();  
        // 得到源图宽  
        int old_h = src.getHeight();  
        // 得到源图长  
        BufferedImage newImg = null;  
        // 判断输入图片的类型  
        switch (src.getType()) {  
        //判断图片上传类型 jpg 才能上传
        case 13:   
            // png,gifnewImg = new BufferedImage(new_w, new_h,  
            // BufferedImage.TYPE_4BYTE_ABGR);  
        	newImg = new BufferedImage(new_w, new_h, BufferedImage.TYPE_INT_RGB);  
            break;  
        case 5:
        	newImg = new BufferedImage(new_w, new_h, BufferedImage.TYPE_INT_RGB);  
            break;  
        default:  
            newImg = new BufferedImage(new_w, new_h, BufferedImage.TYPE_INT_RGB);  
            break;  
        }  
        Graphics2D g = newImg.createGraphics();  
        // 从原图上取颜色绘制新图  
        g.drawImage(src, 0, 0, old_w, old_h, null);  
        g.dispose();  
        // 根据图片尺寸压缩比得到新图的尺寸  
        newImg.getGraphics().drawImage(  
                src.getScaledInstance(new_w, new_h, Image.SCALE_SMOOTH), 0, 0,  
                null);  
        // 调用方法输出图片文件  
        OutImage(outImgPath, newImg);  
    }  
  
    /** 
     * * 将图片文件输出到指定的路径，并可设定压缩质量 * * @param outImgPath * @param newImg * @param 
     * per 
     */  
    private static void OutImage(String outImgPath, BufferedImage newImg) {  
        // 判断输出的文件夹路径是否存在，不存在则创建  
        File file = new File(outImgPath);  
        if (!file.getParentFile().exists()) {  
            file.getParentFile().mkdirs();  
        }// 输出到文件流  
        try {  
            ImageIO.write(newImg, outImgPath.substring(outImgPath  
                    .lastIndexOf(".") + 1), new File(outImgPath));  
        } catch (FileNotFoundException e) {  
            e.printStackTrace();  
        } catch (IOException e) {  
            e.printStackTrace();  
        }  
    } 
}
